Abstract—Cloud computing is the latest answer of technology
to meet the computational requirements of users. The notable
point in complicated computational works is energy
consumption. The integration is one of the elements in the cloud
system which can reduce the energy consumption and
coordinate the software products. In this article, some solutions
have been considered for determining the upper bound
threshold of utilization for doing migration in order to reduce
the power consumption. Also, it has been tried to use a solution
to diagnose the overloaded host and eliminate it from the host as
it can amend the efficiency as well as improve the host
performance. All these will eventually reduce the power
consumption. The results of evaluation show that the presented
model has better efficiency in reducing the power consumption
as well as decreasing the number of the migrations in
comparison with the other models.
Index Terms—Cloud computing, overloaded host, power consumption, migration.
Mona Arjmandi, Nik Mohammad Balouchzahi, Mahmood Fathy, and Ahmad Akbari are with the Iran University of Science and Technology, Tehran, Iran (e-mail: M.firstname.lastname@example.org, Balouchzahi@iust.ac.ir, email@example.com, Akbarii@iust.ac.ir).
Kaamran Raahemifar is with the Ryerson University, Toronto, Canada (e-mail: Kraahemi@ee.rayerson.ca).
Cite: Mona Arjmandi, Nik Mohammad Balouchzahi, Kaamran Raahemifar, Mahmood Fathy, and Ahmad Akbari, "Reduction of Power Consumption in Cloud Data Centers via Dynamic Migration of Virtual Machines," International Journal of Information and Education Technology vol. 6, no. 4, pp. 286-290, 2016.